Aimsun Next Training Course: Core Skills

[one_fourth]

June 8-12

Online

[/one_fourth]

[three_fourth_last]
Core Skills

 

Due to Coronavirus restrictions, this is a remote training course that you can take from home via video conferencing.

These 5 days of training cover the core skills you’ll need for using all editions of Aimsun Next.

Price: 1,000.00 EUR (Excl. Tax)

Course language: English


Time: Your online tutor is based in Barcelona so the course will start at 9h GMT+2 and end at 13.30h GMT+2.


Platform: We use Microsoft Teams for most of our online classes. If you have a software or security issue, please let us know and we will accommodate your needs.


How to install our software: Once you have signed up, we will send you two-step installation instructions for a temporary training license of Aimsun Next software. Please start this process 48 hours before the course starts to allow time for trouble shooting.
[/three_fourth_last]


[one_fourth]

 

Courses

[/one_fourth]
[three_fourth_last]
Morning session: 09:00–13:30 (including a 15-min break)
[/three_fourth_last]

 

[one_fourth]

Core Skills

[/one_fourth]

[three_fourth_last]

June 8-12

Our most popular training course, this is a thorough introduction to the fundamentals of building a model in Aimsun Next, with a focus on simulation at the microscopic level.

This course will take you all the way through the workflow of a typical project, from editing to traffic management, scenarios, outputs and calibration. There are hands-on exercises every step of the way to make sure you have mastered the basic concepts and you should finish this course ready to start experimenting with Aimsun Next software.

Day 1

Editing exercises

Geometry

Signal plans

Public transport

Traffic demand

Day 2

Managing scenarios

Dynamic scenarios, experiments and replications

Attribute overrides and geometry configurations

Day 3

Outputs

Output calculation

Time series, thematic maps

Scenario comparison

Dynamic traffic assignment

Cost functions

Stochastic route choice algorithm and parameters

Dynamic user equilibrium algorithm and parameters

Combining paths

Day 4

Dynamic traffic assignment

Analysing Path Assignment Outputs

Microscopic network loading

Microscopic vehicle behavior

Day 5

Microscopic network loading

Calibration of a microscopic model

Traffic management

Traffic management actions

Modeling incidents and mitigation strategies

Modeling turn restrictions, reversible lanes, and other scheduled events

[/three_fourth_last]


[one_fourth]

 

Registration

[/one_fourth]
[three_fourth_last]
To reserve your place, please fill out the registration form and send it to info@aimsun.com as soon as possible.

Maximum class sizes apply.
[/three_fourth_last]